Here, \(\mathcal {P}\)  denotes all questions with tags \(\mathcal {T}_{init}\) .
Our 49 experiments with a
broad range of threshold values of \(\mu \)  and \(\nu \)  show that \(\mu = 0.3\)  and \(\nu = 0.001\)  allow for a more
relevant set of IoT tags. The threshold values are consistent with
previous work [1]}, [2]}. We finally got 75 IoT tags, including security-related tags. Third, we found a total of 81,651 posts (questions and answers). Out of which, around 48% are questions (i.e., 39,305) and 52% (42,346) are answers. Out of the answers, around 33% (13,868) are accepted. Following previous
research [3]}, [4]},
we only consider the questions and accepted answers to the questions to avoid noise.
Our final dataset \(\mathcal {B}\)  consists of a total of 53,173 posts (39,305 questions, 13,868 accepted answers).
